Economic growth and carbon emissions

By Paresh Kumar Narayan, B. Saboori, A. Soleymani. 2016

304 citations recorded by the source corpus.

In this paper, we investigate the dynamic relationship between economic growth and carbon dioxide (CO2) emissions for 181 countries. We propose a new approach based on the cross-correlation estimates to understand how economic growth and CO2 emissions are related. Our proposal is that if there is a positive cross-correlation between the current level of income and the past level of CO2 emissions and a negative cross-correlation between the current level of income and the future CO2 emissions, then CO2 emissions will decline with an increase in income over time, consistent with the environmental Kuznets curve (EKC) hypothesis. Our main findings can be summarized as follows. First, for 21 out of 181 countries (12%), there is clear evidence supporting the EKC hypothesis. Second, we ask whether a rise in income reduces emissions in the future. We find that for 49 countries (27%), income growth will reduce emissions in the future.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/eb0eac1f6831513e998b2d76746b1a72a8b98d13

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

The impact of economic growth on CO2 emissions in Azerbaijan (2018, unknown): “, 2016), which include Azerbaijan, find an inverted U-shaped curve, two papers obtain a U-shaped curve (Brizga et al., 2013; Narayan et al., 2016), one ends up with no specific patterns (Perez Suarez and Lopez-Menendez, 2015), and two studies obtain a monotonically increasing relationship (Ito,”
The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy (2016, methodology): “The first relies on cross-country panel data analysis (see, for instance,(Arouri et al., 2012; Jaunky, 2011; Narayan and Narayan, 2010; Narayan et al., 2016; Richmond and Kaufmann, 2006; Tsurumi and Managi, 2010a; Yang et al., 2015), whereas the other one relies on a single region time-series…”
Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model (2017, background): “Many studies have evaluated the relationship between economic growth, energy use, and emissions (Bloch et al., 2015; Chen et al., 2016; Narayan et al., 2016).”
Does Economic Policy Uncertainty Affect CO2 Emissions? Empirical Evidence from the United States (2020, background): “, [25,26]), and we aim to explain the drivers of per capita CO2 emissions.”